AI News : Gpt4o - Mini CRUSHES Claude, Sam Altman's Aggressive New plans , 3 Years Left Until AGI

Summary

The transcript discusses the release of GPT 40 mini by Open AI, a cost-effective AI model that promises to democratize AI applications by being more affordable than its predecessors. It outperforms GPT 4 in chat preferences and supports text and vision, with plans for future image, video, and audio capabilities. The script also touches on the rapid advancement of AI, with industry insiders predicting a 'universal agent' by 2027, and the potential for AI to revolutionize various sectors, including entertainment, as showcased by an AI-generated TV show clip.

Takeaways

• 🚀 Open AI has released GPT 40 mini, a cost-efficient model that could significantly expand AI applications by making AI intelligence more affordable.
• 💬 GPT 40 mini scores 82% on the MMLU and outperforms GPT 4 in chat preferences, making it a strong contender in the chatbot arena.
• 💰 The pricing for GPT 40 mini is 15 cents per input token and 60 cents per million output tokens, which is significantly cheaper than previous models.
• 📈 The release of cost-efficient AI models like GPT 40 mini could enable more widespread deployment of AI products, overcoming the barrier of high costs.
• 🔍 GPT 40 mini supports text and vision in the API, with plans to include image, video, and audio inputs and outputs in the future.
• 📊 In model evaluation scores, GPT 40 mini surpasses other smaller models like Gemini Flash and Claude Haiku in various benchmarks, indicating its superior cost-effectiveness.
• 🌐 The potential for AI to evolve rapidly is highlighted by industry insiders, with some predicting that we could be as little as three years away from a universal AI agent.
• 🏛️ Trump's allies are reportedly drafting an AI executive order to advance US interests in AI technology, potentially leading to a Manhattan Project for AI military tech.
• 💡 Open AI is exploring the development of a new AI chip, which could provide leverage in future negotiations with chip suppliers like Nvidia.
• 🎥 AI-generated content is demonstrating its potential in entertainment, with examples like an AI-generated TV show showcasing the future possibilities for solo creators.

Q & A

What is the significance of the release of GPT 40 mini by Open AI?

GPT 40 mini is a cost-efficient AI model that replaces GPT 3.5. Its release is significant because it makes AI intelligence more affordable, expanding the range of applications that can be developed without the high costs previously associated with AI models.

How does GPT 40 mini compare to GPT 3.5 in terms of cost and efficiency?

GPT 40 mini is priced at 15 cents per input token and 60 cents per million output tokens, making it 60% cheaper than GPT 3.5 turbo. This cost reduction, combined with its increased reliability and intelligence, makes it a more attractive option for deploying AI applications.

What is the MML U score of GPT 40 mini, and what does it indicate?

GPT 40 mini scores 82% on the MML U, which is a measure of AI performance. This score indicates that GPT 40 mini outperforms GPT 4 in chat preferences and chatbot arenas, demonstrating its effectiveness in conversational AI.

What are the potential applications of GPT 40 mini in terms of tasks and latency?

GPT 40 mini enables a broad range of tasks with low-cost latency, making it suitable for applications that require multiple model calls, such as calling multiple APIs, processing large volumes of text, or interacting with customers through fast real-time responses like customer chatbots.

What additional capabilities does GPT 40 mini support beyond text?

While GPT 40 mini currently supports text and vision in the API, it is expected to support image, video, and audio inputs and outputs in the future, further expanding its utility in various applications.

How does GPT 40 mini compare to other models like Gemini Flash and Claude Haiku in terms of cost-effectiveness and size?

GPT 40 mini surpasses Gemini Flash and Claude Haiku in terms of cost-effectiveness and size on the MML U, indicating that it offers more intelligence for a lower cost and in a smaller model size.

What is the potential impact of GPT 40 mini on the AI ecosystem?

The release of GPT 40 mini could lead to a proliferation of AI applications as its affordability allows more developers and businesses to deploy AI solutions without the financial barriers associated with previous models.

What are the implications of the AI timeline discussed by industry insiders like Misha Lasin?

Misha Lasin, a former Google DeepMind employee, suggests that we are three years away from a digital AI that resembles a universal agent. This timeline indicates a rapid acceleration in AI development, potentially leading to breakthroughs and more capable systems in the near future.

What is the potential impact of Trump's allies drafting an AI executive order?

The draft executive order could lead to the creation of industry-led agencies to study and protect AI models from foreign powers, strengthen American leadership in AI, and potentially limit the government's use of AI in high-risk situations. This could significantly influence the direction and pace of AI development in the United States.

What is Open AI's strategy in developing a new AI chip, and why is it significant?

Open AI is reportedly developing a new AI server chip, potentially rivaling those made by Nvidia. This move could provide Open AI with leverage in future pricing negotiations and reduce dependence on external chip suppliers, though it is a long-term and challenging endeavor.

How does the AI-generated TV show 'Unanswered Oddities' demonstrate the potential of AI in entertainment?

The AI-generated TV show 'Unanswered Oddities' showcases how AI can be used to produce creative content, potentially enabling solo creators to produce full-fledged TV shows that would otherwise be inaccessible. This indicates a future where AI plays a significant role in the entertainment industry.

Outlines

00:00

🤖 GPT 40 Mini: Affordable AI Intelligence Breakthrough

The script discusses the release of GPT 40 Mini by Open AI, a cost-efficient model designed to replace GPT 3.5. This new model is expected to expand AI applications by making AI more affordable. GPT 40 Mini scores 82% on the MMLU, outperforming GPT 4 in chat preferences and chatbot leaderboards. Priced at 15 cents per input token and 60 cents per million output tokens, it is significantly cheaper than previous models. The script highlights the potential for deploying more AI products cost-effectively and the implications for software development and AI applications. GPT 40 Mini also supports text and vision in the API, with future plans to include image, video, and audio inputs and outputs. The model's evaluation scores show a stark improvement over previous models in terms of cost-effectiveness and capabilities.

05:00

🚀 Accelerating AI Timelines and Potential Military AI Initiatives

This paragraph explores the AI timeline, with insights from industry insiders suggesting that we are three years away from a digital AI, or a universal agent with broad and deep knowledge. The rapid advancement in AI, as seen with AlphaGo, is compared to the potential acceleration towards human-level AI. The script also mentions plans by Trump's allies for an AI executive order, which would include the creation of industry-led agencies to study AI models and protect them from foreign powers. This initiative aims to strengthen American leadership in AI and includes programs to study harmful AI in healthcare practices. The discussion underscores the urgency and potential impact of AI advancements on various sectors.

10:01

💼 Open AI's Chip Development and AI's Future Economic Impact

The script discusses Open AI's co-founder Sam Alman's venture into developing a new AI chip, potentially rivaling Nvidia's market dominance. Alman has been hiring former Google unit members who produced Google's AI chip, the Tensor Processing Unit, and is reportedly developing an AI server chip. This move could provide Open AI with leverage in future pricing negotiations with chip suppliers. The potential for AI to reshape the chip market and the economic implications of AI advancements are highlighted, with a focus on the long-term vision of AI development and its impact on industries like entertainment and healthcare.

15:02

🎬 AI-Generated Entertainment: The Future of TV Shows

The final paragraph showcases an AI-generated TV show, demonstrating the potential of AI in the entertainment industry. The script describes an episode of 'Unanswered Oddities,' which explores the mystery of humans, suggesting that AI can enable solo creators to produce full-fledged TV shows. The script emphasizes the creative possibilities opened up by AI, transforming the way content is produced and consumed. While the script clarifies that the content was written by a human with AI production, it invites viewers to explore the original creation, highlighting the potential for AI to revolutionize entertainment.

Keywords

💡AI Releases

AI Releases refer to the introduction of new artificial intelligence models or technologies by various companies. In the video, Open AI's release of GPT 40 mini is highlighted as a significant event in the AI industry, showing the ongoing advancements and the potential for more cost-effective and intelligent AI applications.

💡GPT 40 Mini

GPT 40 Mini is a new AI model developed by Open AI, which is positioned as a cost-efficient replacement for GPT 3.5. The model is designed to make AI intelligence more affordable and accessible, allowing for a broader range of applications. It is mentioned in the script as scoring 82% on the MMLU and outperforming GPT 4 in chat preferences, indicating its effectiveness in conversational AI.

💡Cost Efficiency

Cost Efficiency in the context of AI refers to the balance between the performance of an AI model and its cost of operation. The script discusses how GPT 40 Mini is a game-changer due to its cost efficiency, being significantly cheaper than previous models while maintaining high performance, which can lead to wider adoption of AI in various industries.

💡MMLU

MMLU stands for the Multi-Modal Learning Understanding benchmark, which is a test used to evaluate the performance of AI models in understanding and processing information. In the script, GPT 40 Mini's score of 82% on the MMLU is used to demonstrate its capabilities compared to other models.

💡Chatbots

Chatbots are AI-powered conversational agents that interact with users through text or voice. The script mentions chatbots as one of the applications that can benefit from the release of GPT 40 Mini, due to its improved performance and cost efficiency, which could make chatbots more viable for businesses.

💡API

API stands for Application Programming Interface, which is a set of rules and protocols that allows different software applications to communicate with each other. The script mentions that GPT 40 Mini supports text and vision in the API, with plans to include image, video, and audio inputs and outputs in the future, expanding the capabilities of AI applications.

💡Benchmarks

Benchmarks are standardized tests used to evaluate the performance of systems, in this case, AI models. The script discusses how GPT 40 Mini surpasses other models in various benchmarks like DROP, GQA, MGSM, and math, indicating its superior cost-effectiveness and intelligence.

💡Universal Agent

A Universal Agent, as mentioned in the script, refers to an AI system that possesses a broad and deep knowledge base, capable of performing a wide range of tasks. The concept is related to the future of AI development, where systems are expected to become more capable and autonomous.

💡AI Timeline

The AI Timeline refers to predictions and expectations about the future development and milestones of AI technology. The script cites industry insiders' views on the timeline, suggesting that we might be only a few years away from achieving significant breakthroughs in AI, such as the creation of a universal agent.

💡Manhattan Project for AI

The term 'Manhattan Project for AI' is used in the script to describe a large-scale, coordinated effort to advance AI technology, similar to the Manhattan Project that developed the atomic bomb during World War II. It suggests that there is a push for significant investment and focus on AI development, potentially leading to rapid advancements.

💡AI Chip

An AI Chip is a specialized hardware designed to accelerate the processing of AI algorithms and models. The script discusses how Open AI is considering developing its own AI chip, which could provide them with leverage in negotiations with suppliers and potentially revolutionize AI hardware in the future.

Highlights

Open AI released GPT 40 mini, a cost-efficient replacement for GPT 3.5.

GPT 40 mini is expected to make AI intelligence more affordable and expand the range of applications.

GPT 40 mini scores 82% on the MML U and outperforms GPT 4 in chat preferences.

The new model is priced at 15 cents per input tokens and 60 cents per million output tokens, making it significantly cheaper than previous models.

GPT 40 mini enables a broad range of tasks with low-cost latency and supports text and vision in the API, with plans for image, video, and audio inputs/outputs in the future.

GPT 40 mini is compared to smaller models from other AI companies, showing a stark jump in capabilities.

GPT 40 mini surpasses previous state-of-the-art models in cost-effectiveness and size on various benchmarks.

Industry insiders predict that we are three years away from a digital AI with universal capabilities.

Trump's allies are reportedly drafting plans for an AI executive order to advance US interests in AI technology.

The proposed AI executive order includes the creation of industry-led agencies to study and protect AI models from foreign powers.

Open AI is in talks with Broadcom about developing a new AI server chip, potentially rivaling Nvidia's market position.

Open AI's co-founder discusses the future of evolving AI and the implications of multiple AIs competing for resources.

AI-generated software is enabling solo creators to produce full-fledged TV shows that would otherwise be inaccessible.

An example of AI-generated entertainment is a TV show called 'Unanswered Oddities', showcasing the potential of AI in content creation.

The TV show 'Unanswered Oddities' was written by a human but produced with AI, indicating a future of streamlined content creation.

The potential for AI to automate TV show production could change the entertainment industry, enabling more creators to produce high-quality content.

Transcripts

so there were actually a few big AI

releases including one from open AI so

let's get into some of the news that you

might have missed one of the first

stories that I was actually quite

surprised by was GPT 40 mini advancing

the cost effective intelligence for AI

open AI actually released GPT 40 mini

which is basically a replacement for GPT

3.5 so you can see that yesterday they

essentially announced GPT 40 mini which

is their most cost efficient small model

they actually expect the GPT 40 mini

will significantly expand the range of

applications by making AI intelligence

much more affordable one of the most

surprising things about GPT 40 mini was

that it scores 82% on the MML U and

currently outperforms GPT 4 on chat

preferences in the chatbot Arena or the

LMS leaderboard the price of this system

is actually relatively cheap considering

the fact that the cost of intelligence

has been decreasing rapidly it's priced

at 15 cents per input tokens and 60

cents per million output tokens and an

order of magnitude more affordable than

previous Frontier models and 60% cheaper

than GPT 3.5 turbo now the reason I

think this is such a game-changing

statement and most people won't realize

the significance of such a release is

the fact that when small cost efficient

models are released very cheaply this

allows the AI ecosystem to deploy more

products cost effectively one of the

biggest problems preventing many people

from deploying GPT applications and from

many people actually using chat GPT or

other AI systems is the fact that is

just too expensive if you've ever tried

to build something with AI the problem

is is that the cost per output just

racks up an insane bill that you really

can't afford to justify having your

software or whatever AI system it is but

with GPT 40 mini you're actually not

compromising on the intelligence of your

model or the cost of your model so

you're getting a reduction in price and

an increase in the reliability and of

course the intelligence of the model

which means that now if there's some

kind of software development or some

kind of application that you previously

couldn't find a reason to justify

spending that amount of money or you

actually losing money this might not be

the case and I think this shows us an

indication of the further Trend in the

industry of what's to come now what they

also talk about is how GPT 40 mini

enables a broad range of tasks with

lowcost latency and applications that

chain or paralyze multiple model calls

for example calling multiple apis is

passing a large volume of text for

example a full codebase or conversation

history or to interact with customers

through fast real-time responses for

example customer chatbots now what's

really cool about this is that it

currently supports text and vision in

the API and it does say that image video

and audio inputs and outputs are going

to be coming in the future that I think

is going to be the real game changer for

this model now something that was

actually really interesting was if we

take a look at the model evaluation

scores now what they've done is they

haven't actually compared this to other

Frontier models they've actually

compared this to other models that are

actually smaller in size basically

comparing them to the respective similar

models from the other AI companies so

what we can see here GPT 40 mini is

compared to Gemini flash Claude Haiku

and of course the predecessor GPT 3.5

turbo we can see that it is a stark jump

in terms of all of the capabilities

because GPT 3.5 just simply didn't

compare to Gemini Flash and Claude Haiku

but overall what we can see here in a

rather surprising term of events is that

GPT 40 mini clearly surpasses the

previous state-ofthe-art models in terms

of their cost Effectiveness and their

size on the MML U it surpasses Gemini

Flash and clae haiku on the drop

benchmarks on the gqa on the mgsm on the

math benchmark surprisingly we can see

that there is a huge Improvement in

terms of what you get for cost

Effectiveness compared to these other

models in the human Eva that's also the

case and in the mmu and in the math

Vista we can see that once again there

were also surprising benchmarks and

Gemini flash does actually manage to

beat GPT 40 mini there the point being

that it's clear that opening ey probably

did use a different method to train this

model because the effectiveness for the

size of the model although they didn't

actually state it shows us that we're

going to be getting a lot more

intelligence out of a lot faster systems

in the future and I do wonder how this

is going to look in the next 2 years

with respect to what intelligence level

we can get per cost per input now if you

do want to you can actually use GPT 4

mini today but for example just to show

you the relative speed of this I said

can you list me 20 food items that was

insanely quick and I'm going to do a

video later on the actual applications

of this because I think most people Miss

what you can actually do with such a

model but this is going to be something

that I'll be diving into later because

it is really effective with what you can

do when a model can respond that quickly

with a level of intelligence that's

rather effective we're all very hungry

maybe that's uh how I put it you know we

could have yest and I could have and

tried um pushing agents um you know at

Deep Mind and as I said I think you know

the reason we decided to do it in our

own way is because we we think we can

move quickly much faster against this

goal some of this urgencies is driven by

a a real belief that we are we are three

or so years away from something

that resembles a a digital AI um and by

that that's um that's what I've been

referring to as universal agent Su has

both this kind of bread and depth of

knowledge

and that means we're actually on a very

accelerated timeline um yeah you're you

know few months in you're kind of 5%

away from uh from hitting that timeline

and maybe some of this is also driven by

how quickly alphago went um

from experts in the field doubting this

is possible yeah it's kind of decades

human level or like expert human level

goplay was decades away and how

effectively they were able to solve that

problem within months I think we're

seeing a similar kind of acceleration

happen so that was Misha lasin someone

who is previously working at Google

deepmind they went off to start their

own company and you can see that he's

speaking about the AI timeline and I

think it's always refreshing to kind of

hear what some of the industry insiders

actually think about the timelines

rather than you know a few Skeptics on

podcast that are just talking about AI

very briefly and when I say that I'm

talking about you know news anchors and

other things and of course I do think

that they are important for the

discussion getting it out into the wider

Community but what I don't think people

understand is that if the timelines are

as you know what we're looking at here

which is you know 3 years currently it's

2024 this would be 2027 this would Mark

I think around now the sixth or seventh

person that hails 20 27 to 2028 as the

time when we're going to be getting a

truly capable system that can actually

act and do things within the environment

now I think that that is a startling

Revelation because it shows us at the

rate at which AI is expected to increase

and the funny thing is that in the past

people have actually been wrong at how

quick these kind of systems have

advanced so we could even argue that

perhaps even these indications are

somewhat conservative now what that

means is that within the next five years

I do think that there is going to be so

many different breakthroughs on so many

different levels and we are going to be

getting more and more capable systems

out there but I do wonder if people are

ever truly going to realize what is

coming because the capabilities of these

systems are going to have some really

profound implications Beyond just fancy

chatbots and whilst those chatbots are

being developed and whilst obviously

other generally intelligent systems

being developed we're also going to see

a lot more money flowing into AI around

the space as well now as for those of

you who don't think that maybe AI is

going to be advancing as quickly as

former googlers think we can see here

that this is going to put even further

pressure on AI development as Trump's

allies are working on a plan to create

Manhattan projects for AI military Tech

so essentially Trump's allies are

reportedly drafting plans for an

executive order on AI basically if you

don't know Donald Trump is running to

become president again and it is very

likely that he will win this election

and right now all eyes are on his plans

for the largest developments with

artificial intelligence because of

course he has some unique ideas on where

things are going to go according to the

Washington Post several people close to

this former president are writing up an

AI executive order to advance us

interest in the technology it will

include the creation of industry-led

agencies that will study AI models and

protect them from foreign powers the

report said the framework also contains

a make America First in AI which aligns

L with the 2016 Trump Administration

comments to strengthening American

leadership in the field this order

demands that major tech companies

communicate the risks of the AI models

with the federal government and it also

limits the government's use of AI

systems in high-risk situations and

includes programs to potentially study

harmful AI in healthcare practices now I

do think this is going to happen anyways

as I've said before when these elected

leaders start to truly understand the

magnitude of what the potential of AI is

I don't think there's going to be any

question whether or not they are going

to be Manhattan projects popping up in

various parts of the world not just

America and I think that the research

landscape for AI could most definitely

change as we get to more and more

powerful system as in by 2030 Maybe by

2035 the level of research that we

seeing published in certain areas might

actually grind to a ho this doesn't mean

the level of innovation it just means

what we're publicly seeing and hearing

from some of the frontier Labs what's

also interesting is that it seems that

opening eye is continuing to talk to

broadc about developing a new AI chip

one of the major winners of the AI boom

was Nvidia they've gained a trillion

dollars in market cap and profited

heavily from the rise of artificial

intelligence considering the fact that

many people need these graphics cards to

train their models now we do know that

Sam Alman was doing this last year last

year he decided to start a new company

that could develop and produce a new AI

chip and help set up chip factories and

make them and data centers to house them

but now his plans have slightly changed

what he's been doing he's actually been

hiring former members of a Google unit

that actually produces Google's AI chip

the tensor processing unit and has

actually sought to develop an AI server

chip according to three people who have

been involved in the conversation and

he's also been talking to chip designers

including broadcom about working on the

chip according to certain people now

what's crazy about this is that it does

say here that a new server chip that

would rival the kind made by Nvidia is a

long shot that would take years to come

to fruition and in trying to develop a

chip opening eye risks upsetting and

open ai's most important chip supplier

but it could provide open AI with

potential leverage in future pricing

negotiations with the company now me

personally I'm not sure why open AI is

trying to do this maybe they're just

trying to do this because they realize

that one day they'll have super

intelligent Ai and then super

intelligent AI could inhouse push that

chip fabrication company forward and

they could have the best chips on the

planet I think that might be the play

here although it does sound a little bit

crazy and although it does seem like

that would be a very long-term plan I'm

pretty sure Sam Alman is a very

long-term thinker and the reason that I

do state that is because these AI chips

are actually really hard to design

there's a reason Nvidia is the market

leader it's because they're the very

best and have the entire infrastructure

the Integrations the Partnerships the

trade routes simply everything is in

their favor to be benefiting from the AI

boom you can see here that some people

don't even believe this he says but

alman's Factory expansions ambition

struck numerous Executives as improbable

because it would require a lot of

capital and specialized labor Alman was

too aggressive for me to believe tsmc's

CEO wey said in a news conference last

month when asked about the prospect of

new factories like I said before this is

no walk in the park even for the very

experienced entrepreneurs now open ai's

co-founder actually had an interesting

statement on the future of evolving AI

in case of sales it's possible to get a

Cancer and cancer is a prevalent

phenomenon in the nature once then is a

increased number of AIS and some sense

you know there is a process of mutation

which is AIS are modifying its own code

humans are modifying their own code

there is a process of natural selection

and you can say that the AI that

literally wants to maximally spread will

be will be the one that will exist the

things in the universe that want to

replicate are the things that exist here

the main difference is that AI will have

just a huge power you can imagine a a

equilibrium right where where things

aren't allowed to consume all the

resources for example right or is there

am I missing something it might be the

case that other AIS are kind of

Defending uh the system or maybe they

are never they were never trained for

defending uh and it's very hard to

predict the Dynamics in multi-agent

setup with one AI you can maybe predict

what what are the possibilities it would

be still let's say extremely hard but

once you have many of them competing in

some sense for resources very hard to

say actually what might be the consequen

now I know this might not count as AI

news but genuinely this is something

that I believe most people should take a

look at because it shows what you can do

when you actually use AI generated

software to produce something

interesting I've looked at tons of

different AI videos and this is by far

one of the best series I've ever seen

I'm not going to play to you guys the

entire clip because I want you to

actually check out the original creation

but I will show you guys first 30

seconds from an AI generated TV show

which might show you guys how the future

of entertainment is going to change with

regards to enabling solo creators to

produce full-fledged TV shows that they

otherwise wouldn't be able to access on

tonight's episode of unanswered Oddities

humans are they real or just a

younglings fairy tale humans have been a

great mystery of our time these

creatures of lore supposedly ate

potatoes and enjoyed sleep they're

thought to be long extinct if they ever

exist did at all but recent sightings

all across the world have drummed up the

debate once again rural morgog 2 hours

outside of deedle a hiker claims to have

seen a human so yeah it was uh it was a

Tuesday night I had just gotten home

from spitting I went out for my midnight

lurk you know I was just being creepy

and weird and that's when I saw it it

was a home so for me when I actually saw

this I was thoroughly impressed because

I've seen a lot of different AI videos

and this was one that actually made me

smile and I got to be honest I was truly

engaged at the thought of watching a

full episode of this now once Things

become more streamlined and there's a

lot of plug-and playay I do think we

might get automated TV shows but for

those of you guys who think this was

written by an AI it actually wasn't it

was written by a human with the

production basis actually being AI so I

do think that you guys should check this

out as always I'll leave a link to

everything and hopefully you have a

wonderful day